Matjaž Perc (Avtor)

Povzetek

We analyse the human electrocardiogram with simple nonlinear time series analysis methods that are appropriate for graduate as well as undergraduate courses. In particular, attention is devoted to the notions of determinism and stationarity in physiological data. We emphasize that methods of nonlinear time series analysis can be successfully applied only if the studied data set originates from a deterministic stationary system. After positively establishing the presence of determinism and stationarity in the studied electrocardiogram, we calculate the maximal Lyapunov exponent, thus providing interesting insights into the dynamics of the human heart. Moreover, to facilitate interest and enable the integration of nonlinear time series analysis methods into the curriculum at an early stage of the educational process, we also provide user-friendly programs for each implemented method.

Ključne besede

dinamični sistemi;kaotični sistemi;nelinearna dinamika;nelinearna analiza;elektrokardiogram;ne zaključna dela;dynamic systems;chaotic systems;nonlinear dynamics;electrocardiogram;human electrocardiogram;nonlinear analyses;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM PEF - Pedagoška fakulteta
UDK: 531.3
COBISS: 14505992 Povezava se bo odprla v novem oknu
ISSN: 0143-0807
Št. ogledov: 2345
Št. prenosov: 96
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: dinamični sistemi;kaotični sistemi;nelinearna dinamika;nelinearna analiza;elektrokardiogram;
URN: URN:SI:UM:
Vrsta dela (COBISS): Članek v reviji
Strani: str. 757-768
Letnik: ǂVol. ǂ26
Zvezek: ǂno. ǂ5
Čas izdaje: 2005
DOI: 10.1088/0143-0807/26/5/008
ID: 8724267